AIM review tool: artificial intelligence for smarter systematic review screening
Sergio Mena·Paris Alexandros Lalousis·G. Jacobs·N. Sirbu·J. von Trott·Marinus H. van IJzendoorn·Esther Rituerto-González·Muhammad Ahmed·Dominic Oliver·Fiona Coutts·Sander L. Koole·Louise Moles·Nikolaos Koutsouleris·Paolo Fusar-Poli·L. Bryant·L. Promet
In this study, we present the AIM Review Tool, a modern web-based application that integrates active and supervised machine learning to accelerate the screening of publications for systematic reviews. AIM Review combines advanced text vectorization methods with machine learning models executed directly in the web browser, enabling rapid and privacy-preserving analysis. Unlike existing tools, AIM Review uniquely incorporates nested cross-validation and semi-automated screening strategies, enhanci